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The AWS Certified DevOps Engineer - Professional (DOP-C02) certification exam is a highly sought-after certification in the field of cloud computing. AWS Certified DevOps Engineer - Professional certification is designed for experienced DevOps professionals who have a deep understanding of the AWS platform and possess advanced skills in automating, monitoring, and maintaining AWS services. It is a prestigious certification that validates the expertise and knowledge of professionals in the field of DevOps.
The AWS Certified DevOps Engineer - Professional (DOP-C02) certification exam is designed for IT professionals who work in a DevOps environment and have experience using AWS services for continuous integration and delivery. AWS Certified DevOps Engineer - Professional certification validates the candidate's knowledge and skills in areas such as automation, monitoring, and security practices, among others.
NEW QUESTION # 93
A company has an application that runs on AWS Lambda and sends logs to Amazon CloudWatch Logs. An Amazon Kinesis data stream is subscribed to the log groups in CloudWatch Logs. A single consumer Lambda function processes the logs from the data stream and stores the logs in an Amazon S3 bucket.
The company's DevOps team has noticed high latency during the processing and ingestion of some logs.
Which combination of steps will reduce the latency? (Select THREE.)
Answer: A,E,F
Explanation:
The latency in processing and ingesting logs can be caused by several factors, such as the throughput of the Kinesis data stream, the concurrency of the Lambda function, and the configuration of the event source mapping. To reduce the latency, the following steps can be taken:
* Create a data stream consumer with enhanced fan-out. Set the Lambda function that processes the logs as the consumer. This will allow the Lambda function toreceive records from the data stream with dedicated throughput of up to 2 MB per second per shard, independent of other consumers1. This will reduce the contention and delay in accessing the data stream.
* Increase the ParallelizationFactor setting in the Lambda event source mapping. This will allow the Lambda service to invoke more instances of the function concurrently to process the records from the data stream2. This will increase the processing capacity and reduce the backlog of records in the data stream.
* Configure reserved concurrency for the Lambda function that processes the logs. This will ensure that the function has enough concurrency available to handle the increased load from the data stream3. This will prevent the function from being throttled by the account-level concurrency limit.
The other options are not effective or may have negative impacts on the latency. Option D is not suitable because increasing the batch size in the Kinesis data stream will increase the amount of data that the Lambda function has to process in each invocation, which may increase the execution time and latency4. Option E is not advisable because turning off the ReportBatchItemFailures setting in the Lambda event source mapping will prevent the Lambda service from retrying the failed records, which may result in data loss. Option F is not necessary because increasing the number of shards in the Kinesis data stream will increase the throughput of the data stream, but it will not affect the processing speed of the Lambda function, which is the bottleneck in this scenario.
References:
* 1: Using AWS Lambda with Amazon Kinesis Data Streams - AWS Lambda
* 2: AWS Lambda event source mappings - AWS Lambda
* 3: Managing concurrency for a Lambda function - AWS Lambda
* 4: AWS Lambda function scaling - AWS Lambda
* : AWS Lambda event source mappings - AWS Lambda
* : Scaling Amazon Kinesis Data Streams with AWS CloudFormation - Amazon Kinesis Data Streams
NEW QUESTION # 94
A company has a guideline that every Amazon EC2 instance must be launched from an AMI that the company's security team produces Every month the security team sends an email message with the latest approved AMIs to all the development teams.
The development teams use AWS CloudFormation to deploy their applications. When developers launch a new service they have to search their email for the latest AMIs that the security department sent. A DevOps engineer wants to automate the process that the security team uses to provide the AMI IDs to the development teams.
What is the MOST scalable solution that meets these requirements?
Answer: C
Explanation:
Explanation
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/dynamic-references.html
NEW QUESTION # 95
A company builds a container image in an AWS CodeBuild project by running Docker commands. After the container image is built, the CodeBuild project uploads the container image to an Amazon S3 bucket. The CodeBuild project has an IAM service role that has permissions to access the S3 bucket.
A DevOps engineer needs to replace the S3 bucket with an Amazon Elastic Container Registry (Amazon ECR) repository to store the container images. The DevOps engineer creates an ECR private image repository in the same AWS Region of the CodeBuild project. The DevOps engineer adjusts the IAM service role with the permissions that are necessary to work with the new ECR repository. The DevOps engineer also places new repository information into the docker build command and the docker push command that are used in the buildspec.yml file.
When the CodeBuild project runs a build job, the job fails when the job tries to access the ECR repository.
Which solution will resolve the issue of failed access to the ECR repository?
Answer: D
Explanation:
Update the buildspec.yml file to log in to the ECR repository by using the aws ecr get-login-password AWS CLI command to obtain an authentica-tion token. Update the docker login command to use the authentication token to access the ECR repository.
This is the correct solution. The aws ecr get-login-password AWS CLI command retrieves and displays an authentication token that can be used to log in to an ECR repository. The docker login command can use this token as a password to authenticate with the ECR repository. This way, the CodeBuild project can push and pull images from the ECR repository without any errors. For more information, see Using Amazon ECR with the AWS CLI and get-login-password.
NEW QUESTION # 96
A company is building a web and mobile application that uses a serverless architecture powered by AWS Lambda and Amazon API Gateway The company wants to fully automate the backend Lambda deployment based on code that is pushed to the appropriate environment branch in an AWS CodeCommit repository The deployment must have the following:
* Separate environment pipelines for testing and production
* Automatic deployment that occurs for test environments only
Which steps should be taken to meet these requirements'?
Answer: A
Explanation:
Explanation
The correct approach to meet the requirements for separate environment pipelines and automatic deployment for test environments is to create two AWS CodePipeline configurations, one for each environment. The production pipeline should have a manual approval step to ensure that changes are reviewed before being deployed to production. A single AWS CodeCommit repository with separate branches for each environment allows for organized and efficient code management. Each CodePipeline retrieves the source code from the appropriate branch in the repository. The deployment step utilizes AWS CloudFormation to deploy the Lambda functions, ensuring that the infrastructure as code is maintained and version-controlled.
References:
* AWS Lambda with Amazon API Gateway: Using AWS Lambda with Amazon API Gateway
* Tutorial on using Lambda with API Gateway: Tutorial: Using Lambda with API Gateway
* AWS CodePipeline automatic deployment: Set Up a Continuous Deployment Pipeline Using AWS CodePipeline
* Building a pipeline for test and production stacks: Walkthrough: Building a pipeline for test and production stacks
NEW QUESTION # 97
A company is using AWS Organizations to create separate AWS accounts for each of its departments The company needs to automate the following tasks
* Update the Linux AMIs with new patches periodically and generate a golden image
* Install a new version to Chef agents in the golden image, is available
* Provide the newly generated AMIs to the department's accounts
Which solution meets these requirements with the LEAST management overhead'?
Answer: D
Explanation:
Explanation
Amazon EC2 Image Builder is a service that automates the creation, management, and deployment of customized, secure, and up-to-date server images that are pre-installed with software and configuration settings tailored to meet specific IT standards. EC2 Image Builder simplifies the creation and maintenance of golden images, and makes it easy to generate images for multiple platforms, such as Amazon EC2 and on-premises. EC2 Image Builder also integrates with AWS Resource Access Manager, which allows you to share your images across accounts within your organization or with external AWS accounts. This solution meets the requirements of automating the tasks of updating the Linux AMIs, installing the Chef agent, and providing the images to the department's accounts with the least management overhead. References:
* Amazon EC2 Image Builder
* Sharing EC2 Image Builder images
NEW QUESTION # 98
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